Eye-gaze Tracking Based Interaction in India

This paper presents a case study of using eye-gaze tracking based interaction for Indian computer-novice users. Introduction of interactive technologies were not synchronous in developed and developing countries, resulting in India a middle-aged population, who did not ‘grow up’ with technology and find existing computer interfaces and interaction devices counter-intuitive. We investigated how these users interact with an eye-gaze tracker, which has potential to be more intuitive than a mouse or touchpad. During the study, we designed and validated a new target prediction model and used the model in implementing a design bed. The design bed was used to develop interfaces for common computing tasks like shopping, banking, travelling and so on. Our study found that novice users can undertake pointing and selection tasks significantly faster using the eye-gaze tracker than mouse at a cost of higher but statistically non-significant cognitive load. We also conducted a longitudinal study which found users can reach their optimum speed (about 2 secs per selection) within approximately 20minutes with less than 5% error rate